Update app.py

app.py

@@ -0,0 +1,23 @@
+import numpy as np
+import gradio as gr
+from huggingface_hub import from_pretrained_fastai
+
+learn = from_pretrained_fastai('mindwrapped/pokemon-card-checker')
+
+def check_card(input_img):
+    sepia_filter = np.array(
+        [[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
+    )
+    sepia_img = input_img.dot(sepia_filter.T)
+    sepia_img /= sepia_img.max()
+    return sepia_img
+
+demo = gr.Interface(
+  fn=sepia, 
+  inputs=gr.Image(shape=(256, 256)),
+  outputs="image",
+  examples=['real-1.jpeg','real-2.jpeg','fake-1.jpeg','fake-2.jpeg'],
+  title='Pokemon Card Checker',
+  description=`A resnet34 model fine tuned to determine whether Pokemon cards are real or fake. Dataset is located [here](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards).`)
+
+demo.launch()